Graph analytics emerged as a key trend at Gartner’s virtual Data & Analytics Summit, with predictions that it will be one of the top four enabling technologies for data and analytics by 2021. Graphs are seen as filling in missing pieces in analytics efforts, providing context lacking in traditional big data analytics. They enable organizations to understand human and machine behavior, improve customer understanding, service, logistics, and risk mitigation. Graph technology is also critical for AI/ML success, making it more explainable and providing metadata about models. Additionally, graphs can make data science project management easier and more effective by accelerating data preparation, insightful data exploration, superior feature engineering, and improved communication between data scientists and subject matter experts. Finally, graphs will enable the next big thing in AI – composite AI – by providing a common ground for combining multiple AI techniques to achieve the best result. The summit highlighted the importance of graph technology for organizations worldwide, with Gartner announcing the event for March 14-17, 2022.